Graves眼病相关因素的关联分析  

Related Factors Study on Graves Ophthalmopathy in the Application of Apriori Association Rules

作　　者：刘尚辉[1] 王露[2] 郑德禄[2] 

机构地区：[1]中国医科大学计算机中心,沈阳110001 [2]中国医科大学附属第一医院内分泌科,沈阳110001

出　　处：《中国医科大学学报》2011年第5期472-474,共3页Journal of China Medical University

摘　　要：目的进行Graves眼病相关因素研究,通过数据挖掘形成关联规则。方法甲状腺疾病相关资料来源于中国医科大学附属第一医院病案室,收集该院2000～2009年的甲状腺疾病住院病例数据。内容包括与甲状腺疾病相关的15项临床指标。首先将各项指标数据离散化为计数资料,将源数据库映射为挖掘数据库;然后设置最小支持度为0.1,最小置信度为0.8,利用Apriori算法进行关联规则挖掘,最后由临床免疫科专家解释及检验所产生的规则。结果共形成241个强关联规则,这些强关联规则中蕴含着Graves眼病发病与甲状腺功能系列及血常规指标、性别、年龄等因素之间的关联关系。结论通过数据挖掘方法挖掘目前医院中大量医疗病例,从而发现其中蕴含的新信息、新知识,为医院大量病案信息提供了新的研究方法,具有一定的实用价值。Objective To study the relevant factor of Graves ophthalmopathy and to get the association rules by data analyzing.Methods The cases with thyroid disease were obtained from 2000 to 2009 in the First affiliated Hospital of China Medical University.15 indexes about thyroid disease were observed.First each index was discredited into count data.And source database was mapped to mining database.then set the minimum support of 0.1,minimum confidence of 0.8,using Apriori algorithm for mining association rules,and finally by the Clinical Immunology specialists to explain and test the rules generated.Results 241strong association rules were formed,containing the relationships of onset of Graves ophthalmopathy with the sex,age,function of hypothyroid,and parameters of blood.Conclusion The method of this study could new information by the data mining.It was valuable for supplying a new approach to assess the huge medical information.

关 键 词：GRAVES眼病 甲状腺病 数据挖掘 关联规则 APRIORI 

分 类 号：R771.3[医药卫生—眼科]